Comments (5)
davidenunes
commented on June 7, 2024
A CPU version is a bit faster for me to build since I don't need to install all the GPU stuff in docker (and I don't have an image ready because I work in Arch), I'll try to build it for you if I have time later on. It seems the new version consumes a ****tone of RAM during the build process, so I'm not surprised.
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davidenunes
commented on June 7, 2024
here you go:
download
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kahekahe
commented on June 7, 2024
Thanks for this. It doesn't seem to work on my system though.
Seems strange as the last build that you did 1.14.1 worked perfectly.
with the wheel installed in venv_ml I'm getting Illegal instruction (core dumped):
(venv_ml) ubuntu@ub18:~/Projects/ml-tests/app$ python3 --version
Python 3.7.7
(venv_ml) ubuntu@ub18:~/Projects/ml-tests/app$ python3 -c 'import tensorflow; print(tensorflow.__version__)'
Illegal instruction (core dumped)The machine info is as follows:
(venv_ml) ubuntu@ub18:~/Projects/ml-tests/app$ lsb_release -a
No LSB modules are available.
Distributor ID: Ubuntu
Description: Ubuntu 18.04.4 LTS
Release: 18.04
Codename: bionic
(venv_ml) ubuntu@ub18:~/Projects/ml-tests/app$ cat /proc/cpuinfo
processor : 0
vendor_id : AuthenticAMD
cpu family : 18
model : 1
model name : AMD A6-3650 APU with Radeon(tm) HD Graphics
stepping : 0
microcode : 0x3000027
cpu MHz : 1821.845
cache size : 1024 KB
physical id : 0
siblings : 4
core id : 0
cpu cores : 4
apicid : 0
initial apicid : 0
fpu : yes
fpu_exception : yes
cpuid level : 6
wp : yes
flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm 3dnowext 3dnow constant_tsc rep_good nopl nonstop_tsc cpuid extd_apicid aperfmperf pni monitor cx16 popcnt lahf_lm cmp_legacy svm extapic cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw ibs skinit wdt hw_pstate vmmcall arat npt lbrv svm_lock nrip_save pausefilter
bugs : fxsave_leak sysret_ss_attrs null_seg spectre_v1 spectre_v2
bogomips : 5199.92
TLB size : 1536 4K pages
clflush size : 64
cache_alignment : 64
address sizes : 40 bits physical, 48 bits virtual
power management: ts ttp tm stc 100mhzsteps hwpstate
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davidenunes
commented on June 7, 2024
I might have built it with some instructions that you don't have, thanks for the info, I'll get back to you
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davidenunes
commented on June 7, 2024
closing this, because I didn't have the time back then and a couple of releases came out recently, re-open if interested in newer version
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Related Issues (20)
- tensorflow 2.2, cuda 11 HOT 8
- Tensorflow 2.3.0, Ubuntu 20.04 LTS, Cuda 10.1, cuDNN 7.6.5.32, Compute Capability 5.0? HOT 1
- AVX2 Support on any TF 2.X version. HOT 3
- version `GLIBC_2.29' not found HOT 2
- TF 1.14 GPU, CC 3.0, CUDA 10, cuDNN 7.4, Python 3.7, Ubuntu 16.04 HOT 8
- Need TF 2.x CPU-only with SSE4.x/AVX2 for Ubuntu 20.04 HOT 8
- Fedora33-Compatibility
- Request - >=TF2.3.0, CPU Westmere(no avx), Compute 6.1 Cuda 10.1, cudnn 7.6.5, ubuntu 18.04 HOT 3
- TF 2.3, CUDA 11.1 , CUDNN 8.0.5, RT 7.2.1 HOT 6
- tensorflow 2.3.0 python 3.8 no gpu no avx Linux ? HOT 1
- TF 2.x python 3.7 HOT 8
- Tensorflow without AVX2 Python 3.10, Linux
- These wheels don't install on Fedora
- Build request HOT 10
- 1.14 build for amdfam10 (python3.6) ? HOT 6
- Help with a specific wheel, tensorflow 1.13.1 SSE running on Ubuntu 18.04, CPU, and Python 3.6 HOT 2
- 2.0 Build for Ubuntu HOT 3
- Tensorflow GPU 1.13.2 for Ubuntu 16.04 HOT 1
- I need tensor flow with cuda Compute Capability 5.0 HOT 8
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